Systematic cell-based phenotyping of missense alleles empowers rare variant association studies: a case for LDLR and myocardial infarction

A fundamental challenge to contemporary genetics is to distinguish rare missense alleles that disrupt protein functions from the majority of alleles neutral on protein activities. High-throughput experimental tools to securely discriminate between disruptive and non-disruptive missense alleles are c...

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Hauptverfasser: Thormälen, Aenne Solvejg (VerfasserIn) , Schuberth, Christian (VerfasserIn) , Blattmann, Peter Nils (VerfasserIn) , Joggerst-Thomalla, Brigitte (VerfasserIn) , Theiß, Susanne (VerfasserIn) , Pepperkok, Rainer (VerfasserIn) , Runz, Heiko (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: February 3, 2015
In: PLoS Genetics
Year: 2015, Jahrgang: 11, Heft: 2
ISSN:1553-7404
DOI:10.1371/journal.pgen.1004855
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1371/journal.pgen.1004855
Verlag, lizenzpflichtig, Volltext: https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1004855
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Verfasserangaben:Aenne S. Thormaehlen, Christian Schuberth, Hong-Hee Won, Peter Blattmann, Brigitte Joggerst-Thomalla, Susanne Theiss, Rosanna Asselta, Stefano Duga, Pier Angelica Merlini, Diego Ardissino, Eric S. Lander, Stacey Gabriel, Daniel J. Rader, Gina M. Peloso, Rainer Pepperkok, Sekar Kathiresan, Heiko Runz

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520 |a A fundamental challenge to contemporary genetics is to distinguish rare missense alleles that disrupt protein functions from the majority of alleles neutral on protein activities. High-throughput experimental tools to securely discriminate between disruptive and non-disruptive missense alleles are currently missing. Here we establish a scalable cell-based strategy to profile the biological effects and likely disease relevance of rare missense variants in vitro. We apply this strategy to systematically characterize missense alleles in the low-density lipoprotein receptor (LDLR) gene identified through exome sequencing of 3,235 individuals and exome-chip profiling of 39,186 individuals. Our strategy reliably identifies disruptive missense alleles, and disruptive-allele carriers have higher plasma LDL-cholesterol (LDL-C). Importantly, considering experimental data refined the risk of rare LDLR allele carriers from 4.5- to 25.3-fold for high LDL-C, and from 2.1- to 20-fold for early-onset myocardial infarction. Our study generates proof-of-concept that systematic functional variant profiling may empower rare variant-association studies by orders of magnitude. 
650 4 |a Alleles 
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650 4 |a Lipoprotein receptors 
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